library(tidyverse)
library(sf)
library(tmap)

1 Rudiments

setwd("~/Dropbox/Teaching/SpatialAnalysis-MontevideoWorkshop2019/Notebooks/Montevideo_Data/Accidentes2006-2010")
Accidents <- st_read("accidentes2006-2010.shp")
Accidents = st_set_crs(Accidents, 32721)

setwd("~/Dropbox/Teaching/SpatialAnalysis-MontevideoWorkshop2019/Notebooks/Montevideo_Data/afe_estaciones")
Stations <- st_read("afe_estaciones.shp")
Stations <- st_set_crs(Stations, 32721)

setwd("~/Dropbox/Teaching/SpatialAnalysis-MontevideoWorkshop2019/Notebooks/Montevideo_Data/Vectoriales_2011")
Uruguay <- st_read("ine_depto.shp")
Uruguay <- st_set_crs(Uruguay, 32721)

setwd("~/Dropbox/Teaching/SpatialAnalysis-MontevideoWorkshop2019/Notebooks/Montevideo_Data/CyclingMontevideoData/v_bi_bicicircuitos")
Bicicircuitos <- st_read("v_bi_bicicircuitos.shp")
tm_shape(Uruguay) + 
  tm_polygons()

tm_shape(Montevideo) + 
  tm_polygons() +
  tm_shape(Accidents) + tm_bubbles()

st_bbox(Uruguay)
     xmin      ymin      xmax      ymax 
 366582.2 6127918.5  858252.1 6671738.4 
st_bbox(Montevideo)
     xmin      ymin      xmax      ymax 
 551982.7 6133498.9  589227.2 6159810.3 
tm_shape(Uruguay, bbox = st_bbox(Montevideo)) + 
  tm_polygons(col = "deepskyblue1") 

Nort Carolina SIDS data

nc = st_read(system.file("shape/nc.shp", package="sf"))
Reading layer `nc' from data source `/Library/Frameworks/R.framework/Versions/3.5/Resources/library/sf/shape/nc.shp' using driver `ESRI Shapefile'
Simple feature collection with 100 features and 14 fields
geometry type:  MULTIPOLYGON
dimension:      XY
bbox:           xmin: -84.32385 ymin: 33.88199 xmax: -75.45698 ymax: 36.58965
epsg (SRID):    4267
proj4string:    +proj=longlat +datum=NAD27 +no_defs

2 The road to a map

tm_shape(nc) + tm_polygons(col="BIR79")
tm_shape(nc) + tm_polygons(col="BIR79") + 
  tm_compass() + tm_scale_bar()

2.1 Legends - tm_layout function

tm_shape(nc) + tm_polygons(col="BIR79") + 
    tm_layout(legend.position = c(0.2,0.03),
              scale=0.8,
              #legend.title.size = 1,
              legend.frame = T)

tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T)

tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(title = "THI IS MY TITLE",
              legend.position = c(0.01,0.05),
              scale = 0.9,
              legend.frame = T) + 
   tm_add_legend(type = c("fill"),
                labels = c("Some Area","Other Area"), 
                col = c("#66c2a5","#e5c494"),
                title = "Other Areas") +
  tm_add_legend(type = "symbol", 
                labels = c("A point","Other Point"), 
                col = c("#e78ac3","grey"))

2.2 Where is the south?

But coming back to our map, it needs a compass so your audience know where noth and east are.

tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T) + 
    tm_compass() 

NA
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T) + 
    tm_compass(size = 5, type = "8star") 

NA
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T) + 
    tm_compass(size = 5, type = "rose", lwd = 3, show.labels = 0) 

2.3 The scale

tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T) + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar()

tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T) + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 2, position = c(0.06,0))

In the documentation In the documentation In the documentation

tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T) + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 5, color.dark = "darkgreen", color.light = "blue")

MyMap <- tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T,
              bg.color = "lightblue") + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 3)
MyMap

2.4 Mode: View

tmap_mode("view")
tmap mode set to interactive viewing
MyMap
Compass not supported in view mode.
legend.postion is used for plot mode. Use view.legend.position in tm_view to set the legend position in view mode.
tmap_mode("plot")
tmap mode set to plotting
UruguayMap <- tm_shape(Uruguay) + 
  tm_polygons()
tmap_leaflet(UruguayMap)

2.5 Colors

tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84", palette = "Blues") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T,
              bg.color = "lightblue") + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 3)

library(RColorBrewer)
display.brewer.all()

library(RColorBrewer)
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84", palette = "YlGnBu") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T,
              bg.color = "lightblue") + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 3)

tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84", palette = "-YlGnBu") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T,
              bg.color = "lightblue") + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 3)

summary(nc$BIR79)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
    319    1336    2636    4224    4889   30757 

Breaks <- c(0, 2000, 4000, 6000, 31000)
Labels <- c("0 - 2000", "2000 - 4000", "4000 - 6000", ">6000")
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84", palette = "YlGnBu",
                           breaks = Breaks, labels = Labels) + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T,
              bg.color = "lightblue") + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 3)

tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84", palette = MyPalette,
                           breaks = Breaks, labels = Labels) + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T,
              bg.color = "lightblue") + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 3)

3 Auxiliar map

MontevideoMap <- tm_shape(Montevideo) + 
  tm_polygons() +
  tm_shape(Accidents) + tm_bubbles()
UruguayMap <- tm_shape(Uruguay) + 
  tm_polygons()
library(grid)
MontevideoMap
print(UruguayMap, vp = viewport(0.17, 0.8, width = 0.25, height = 0.25))

MontevideoMap <- tm_shape(Montevideo) + 
  tm_polygons(col = "deepskyblue1") 
MontevideoNeigh <- Uruguay %>% filter(NOMBRE %in% c("SAN JOSE", "CANELONES", "MONTEVIDEO"))
AuxMap <- tm_shape(MontevideoNeigh) + tm_polygons(col = "green")
MontevideoMap
print(AuxMap, vp = viewport(0.17, 0.8, width = 0.2, height = 0.2))

Our map needs some context!

MontevideoBox <- st_bbox(Montevideo) %>% st_as_sf()
Error in UseMethod("st_as_sf") : 
  no applicable method for 'st_as_sf' applied to an object of class "bbox"

AuxMap <- tm_shape(MontevideoNeigh) + tm_polygons(col = "green") + 
  tm_shape(MontevideoBox) + tm_polygons(border.col = "red", lwd = 2.5, alpha = 0.3)
  
MontevideoMap
print(AuxMap, vp = viewport(0.17, 0.8, width = 0.2, height = 0.2))

4 Faceted maps

tm_shape(Montevideo) + tm_polygons() +
  tm_shape(Accidents) + tm_dots(alpha = 0.5) + tm_facets(by = "ANIO")

Accidents2006 <- Accidents %>% filter(ANIO == "2006")
Accidents2010 <- Accidents %>% filter(ANIO == "2010")
Complements <- tm_compass() + tm_scale_bar()
Map2006 <- tm_shape(Accidents2006) + tm_dots() + Complements
Map2010 <- tm_shape(Accidents2010) + tm_dots() + Complements
tmap_arrange(Map2006, Map2010)

---
title: "R Notebook"
author: "Orlando Sabogal"
output: 
  html_notebook: 
    number_sections: yes
    toc: yes
---

```{r}
library(tidyverse)
library(sf)
library(tmap)
```


#Rudiments

```{r}
setwd("~/Dropbox/Teaching/SpatialAnalysis-MontevideoWorkshop2019/Notebooks/Montevideo_Data/Accidentes2006-2010")
Accidents <- st_read("accidentes2006-2010.shp")
Accidents = st_set_crs(Accidents, 32721)

setwd("~/Dropbox/Teaching/SpatialAnalysis-MontevideoWorkshop2019/Notebooks/Montevideo_Data/afe_estaciones")
Stations <- st_read("afe_estaciones.shp")
Stations <- st_set_crs(Stations, 32721)

setwd("~/Dropbox/Teaching/SpatialAnalysis-MontevideoWorkshop2019/Notebooks/Montevideo_Data/Vectoriales_2011")
Uruguay <- st_read("ine_depto.shp")
Uruguay <- st_set_crs(Uruguay, 32721)

setwd("~/Dropbox/Teaching/SpatialAnalysis-MontevideoWorkshop2019/Notebooks/Montevideo_Data/CyclingMontevideoData/v_bi_bicicircuitos")
Bicicircuitos <- st_read("v_bi_bicicircuitos.shp")

```

```{r}
tm_shape(Uruguay) + 
  tm_polygons()
```

```{r}
Montevideo <- Uruguay %>% filter(NOMBRE=="MONTEVIDEO")
```


```{r}
tm_shape(Montevideo) + 
  tm_polygons() +
  tm_shape(Accidents) + tm_bubbles()
```

```{r}
MyMap <- tm_shape(Uruguay) + 
  tm_polygons(col = "deepskyblue1") 
```

```{r}
MyMap
```


```{r}
st_bbox(Uruguay)
st_bbox(Montevideo)
```


```{r}
tm_shape(Uruguay, bbox = st_bbox(Montevideo)) + 
  tm_polygons(col = "deepskyblue1") 
```


```{r}

```


[Nort Carolina SIDS data](https://nowosad.github.io/spData/reference/nc.sids.html)

```{r}
nc = st_read(system.file("shape/nc.shp", package="sf"))
```

```{r}
tm_shape(nc) + tm_polygons(col="BIR79")
```

#The road to a map

```{r}
tm_shape(nc) + tm_polygons(col="BIR79")
```

```{r}
tm_shape(nc) + tm_polygons(col="BIR79") + 
  tm_compass() + tm_scale_bar()
```

## Legends - tm_layout function

```{r}
tm_shape(nc) + tm_polygons(col="BIR79") + 
    tm_layout(legend.position = c(0.2,0.03),
              scale=0.8,
              legend.frame = T)
```


```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T)
```

```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(title = "THI IS MY TITLE",
              legend.position = c(0.01,0.05),
              scale = 0.9,
              legend.frame = T) + 
   tm_add_legend(type = c("fill"),
                labels = c("Some Area","Other Area"), 
                col = c("#66c2a5","#e5c494"),
                title = "Other Areas") +
  tm_add_legend(type = "symbol", 
                labels = c("A point","Other Point"), 
                col = c("#e78ac3","grey"))
```


##Where is the south?

But coming back to our map, it needs a compass so your audience know where noth and east are.

```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T) + 
    tm_compass() 
  
```


```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T) + 
    tm_compass(size = 5, type = "8star") 
  
```

```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T) + 
    tm_compass(size = 5, type = "rose", lwd = 3, show.labels = 0) 
```


##The scale

```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T) + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar()
```



```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T) + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 2, position = c(0.06,0))
```



In the [documentation](https://www.rdocumentation.org/packages/tmap/versions/2.2/topics/tm_layout)
In the [documentation](https://www.rdocumentation.org/packages/tmap/versions/2.2/topics/tm_compass)
In the [documentation](https://www.rdocumentation.org/packages/tmap/versions/2.2/topics/tm_scale_bar)

```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T) + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 5, color.dark = "darkgreen", color.light = "blue")
```


```{r}

```


```{r}
MyMap <- tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T,
              bg.color = "lightblue") + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 3)

```

```{r}
MyMap
```

##Mode: View

```{r}
tmap_mode("view")
MyMap
```


```{r}
tmap_mode("plot")
```


```{r}
UruguayMap <- tm_shape(Uruguay) + 
  tm_polygons()

tmap_leaflet(UruguayMap)
```

##Colors

```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84", palette = "Blues") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T,
              bg.color = "lightblue") + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 3)

```

```{r}
library(RColorBrewer)
display.brewer.all()
```


```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84", palette = "YlGnBu") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T,
              bg.color = "lightblue") + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 3)
```

```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84", palette = "-YlGnBu") + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T,
              bg.color = "lightblue") + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 3)
```


```{r}
summary(nc$BIR79)
```


```{r}
nc %>% ggplot(aes(x=BIR79)) + geom_histogram()
```



```{r}
Breaks <- c(0, 2000, 4000, 6000, 31000)
Labels <- c("0 - 2000", "2000 - 4000", "4000 - 6000", ">6000")
```


```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84", palette = "YlGnBu",
                           breaks = Breaks, labels = Labels) + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T,
              bg.color = "lightblue") + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 3)
```

```{r}
MyPalette <- c("#f2f0f7", "#cbc9e2", "#9e9ac8", "#6a51a3")
```


```{r}
tm_shape(nc) + tm_polygons(col="BIR79", title = "Births 1979 - 84", palette = MyPalette,
                           breaks = Breaks, labels = Labels) + 
    tm_layout(legend.position = c(0.01,0.65),
              scale=0.65,
              legend.frame = T,
              bg.color = "lightblue") + 
    tm_compass(size = 5, type = "rose", lwd = 3) + 
    tm_scale_bar(breaks = c(0,50,100,150,200),size = 1, position = c(0.06,0),
                 lwd = 3)
```


#Auxiliar map

```{r}
MontevideoMap <- tm_shape(Montevideo) + 
  tm_polygons() +
  tm_shape(Accidents) + tm_bubbles()

UruguayMap <- tm_shape(Uruguay) + 
  tm_polygons()
```

```{r}
library(grid)
```


```{r}
MontevideoMap
print(UruguayMap, vp = viewport(0.17, 0.8, width = 0.25, height = 0.25))
```

```{r}
MontevideoMap <- tm_shape(Montevideo) + 
  tm_polygons(col = "deepskyblue1") 


MontevideoNeigh <- Uruguay %>% filter(NOMBRE %in% c("SAN JOSE", "CANELONES", "MONTEVIDEO"))

AuxMap <- tm_shape(MontevideoNeigh) + tm_polygons(col = "green")
```

```{r}
MontevideoMap
print(AuxMap, vp = viewport(0.17, 0.8, width = 0.2, height = 0.2))
```


Our map needs some context!

```{r}
MontevideoBox <- st_bbox(Montevideo) %>% st_as_sfc() #Why not st_as_sf?
```

```{r}
tm_shape(MontevideoBox) + tm_polygons(col = "white", border.col = "blue", lwd = 4)
#plot(st_geometry(MontevideoBox))
```


```{r}

AuxMap <- tm_shape(MontevideoNeigh) + tm_polygons(col = "green") + 
  tm_shape(MontevideoBox) + tm_polygons(border.col = "red", lwd = 2.5, alpha = 0.3)
  

MontevideoMap
print(AuxMap, vp = viewport(0.17, 0.8, width = 0.2, height = 0.2))
```


#Faceted maps

```{r}
tm_shape(Montevideo) + tm_polygons() +
  tm_shape(Accidents) + tm_dots(alpha = 0.5) + tm_facets(by = "ANIO")
```

```{r}
tm_shape(Montevideo) + tm_polygons() +
  tm_shape(Accidents) + tm_dots(alpha = 0.5) + tm_facets(by = "ANIO", nrow = 1)
```

```{r}
tm_shape(Montevideo) + tm_polygons() +
  tm_shape(Accidents) + tm_dots(alpha = 0.5) + tm_facets(by = "ANIO", ncol = 1)
```

```{r}
Accidents2006 <- Accidents %>% filter(ANIO == "2006")
Accidents2010 <- Accidents %>% filter(ANIO == "2010")

Complements <- tm_compass() + tm_scale_bar()

Map2006 <- tm_shape(Accidents2006) + tm_dots() + Complements
Map2010 <- tm_shape(Accidents2010) + tm_dots() + Complements
```

```{r}
tmap_arrange(Map2006, Map2010)
```

```{r}

```
